DESIGNSAFE TUTORIAL | Development and Utilization of a Relational Database to Support Post-Earthquake Building Damage and Assessment - March 12, 2021
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Tue Mar 2 12:26:04 CST 2021
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https://www.designsafe-ci.org/learning-center/training/webinars/ds/2021/development-and-utilization-relational-database/
Development and Utilization of a Relational Database to Support Post-Earthquake Building Damage and Assessment
March, 12, 2021
2:00PM TO 3:00PM Central Time
Henry Burton, PhD
Morolake Omoya
About the Tutorial
Systematically collected and curated datasets from historical events provide a strong basis for simulating the physical and functional effects of natural hazards on the built environment. This presentation will discuss the development and utilization of a relational database to support post-earthquake damage and recovery modeling of building portfolios.
The current version of the database has been populated with information on the 3,695 buildings affected by the 2014 South Napa, California earthquake. The associated data categories include general building characteristics, site properties and shaking intensities, building damage and repair permitting (timing and type) information and census-level sociodemographics. The dataset has been used to validate post-earthquake recovery simulation methodologies, Bayesian parameter estimation of duration-related recovery variables and explore the effectiveness of different machine learning modeling techniques in predicting damage. The database can be expanded to include other earthquakes and the overall framework can be adapted to other types of natural hazards (e.g., hurricanes, flooding).
About the Presenters
Dr. Henry V. Burton is an Assistant Professor and the Englekirk Presidential Chair in Structural Engineering in the Department of Civil and Environmental Engineering at the University of California, Los Angeles. His research is directed towards understanding and modeling the relationship between the performance of infrastructure systems within the built environment, and the ability of communities to minimize the extent of socioeconomic disruption following extreme events. He is a recipient of the National Science Foundation Next Generation of Disaster Researchers Fellowship (2014) and the National Science Foundation CAREER Award (2016).
Morolake Omoya is a PhD candidate in the Department of Civil and Environmental Engineering at the University of California, Los Angeles. Her research is focused on the application of Bayesian methods to post-earthquake damage and recovery modeling. Morolake is the Social Media Director for the Women in Engineering Program at UCLA (WE at UCLA), a NSF Minority SURGE Fellow and Past UCLA Chapter President of the National Society of Black Engineers (NSBE).
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